BEGIN:VCALENDAR VERSION:2.0 PRODID:-//50.62.137.54//NONSGML kigkonsult.se iCalcreator 2.26.9// CALSCALE:GREGORIAN METHOD:PUBLISH X-FROM-URL:https://ieeeboston.org X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:STANDARD DTSTART:20231105T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RDATE:20241103T020000 TZNAME:EST END:STANDARD BEGIN:DAYLIGHT DTSTART:20240310T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RDATE:20250309T020000 TZNAME:EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:ai1ec-6990@ieeeboston.org DTSTAMP:20240319T082817Z CATEGORIES;LANGUAGE=en-US:All Meetings CONTACT: DESCRIPTION:
Business Manager Position Available
\nThe Institute of Electrical and Electronics Engineers (IEEE) is looking for a Business Manager for its Boston area operations. This person should have experience in overseeing business operations\, fi nance\, marketing\, social media communications\, conferences\, and events . For more details and to apply\, click here!
IEEE Boston Section – Call for Committee Volunteers!
Entrepreneurs’ Network
In-person location forth-coming
Virtual via Zoom
Cost: Free to ENET me mbers\; $15. Non-members
Academic research is a critical source of new knowledge\, a basic research engine that translates investigator curio sity\, energy and resourcefulness into tools\, insights and inventions tha t have the potential to change the world. Sadly\, only 5-10 percent of pa tented academic inventions go on to become commercial products\, and only a very small percentage of academic research even gets to the stage of fil ing a patent. What does it take to effectively translate academic research to commercial success?
Often\, the path to commercialization begin s with a start-up. The challenges in launching a start- up based on resear ch emerging from academia are manifold. To say “it takes a village” would be a gross understatement. Tonight’s panelists\, each having a key role in the academic research to commercialization continuum\, will enlighten us with their experienced insights.
COURSE DESCRIPTION
Course Kick-off / Orienta tion 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Vide o Release\, Thursday\, February 29\, 2024. Additional videos released we ekly in advance of that week’s live session!
Live Workshops: 6:00P M – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
Registration is open through the last live workshop date. Live workshops are recorded fo r later use.
Course Information will be distributed on Thursday\, F ebruary 29\, 2024 in advance of and in preparation for the first live work shop session. A live orientation session will be held on February 29\, 20 24.
Attendees will have access to the recorded session and exercise s for two months (until May 28\, 2024) after the last live session ends! p>
IEEE Member Early Rate (by February 15): $190 .00
IEEE Member Rate (after February 15th): $285.00
IEEE No n-Member Early Rate (by February 15): $210.00
IEEE Non-Member Rate (after February 15): $315.00
Decision to run/cancel course: Thur sday\, February 22\, 2024
Speaker: Dan Boschen
This is a ha nds-on course combining pre-recorded lectures with live Q&A and workshop s essions in the popular and powerful open-source Python programming languag e.
Pre-Recorded Videos: The course format include s pre-recorded video lectures that students can watch on their own schedul e\, and an unlimited number of times\, prior to live Q&A workshop sessions on Zoom with the instructor. The videos will also be available to the stu dents for viewing for up to two months after the conclusion of the course.
Overview: Dan provides simple\, straight-forward navigation through the multiple configurations and options\, providing a b est-practices approach for quickly getting up to speed using Python for mo delling and analysis for applications in signal processing and digital des ign verification. Students will be using the Anaconda distribution\, which combines Python with the most popular data science applications\, and Jup yter Notebooks for a rich\, interactive experience.
The course begi ns with basic Python data structures and constructs\, including key “Pytho nic” concepts\, followed by an overview and use of popular packages for sc ientific computing enabling rapid prototyping for system design.
Du ring the course students will create example designs including a sigma del ta converter and direct digital synthesizer both in floating point and fix ed point. This will include considerations for cycle and bit accurate mode ls useful for digital design verification (FPGA/ASIC)\, while bringing for ward the signal processing tools for frequency and time domain analysis. p>
Target Audience: This course is targeted toward users with little to no prior experience in Python\, however familiarity with o ther modern programming languages and an exposure to object-oriented const ructs is very helpful. Students should be comfortable with basic signal pr ocessing concepts in the frequency and time domain. Familiarity with Matla b or Octave is not required\, but the equivalent operations in Python usin g the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Course: At tendees will gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python.
All set-up info rmation for the installation of all tools will be provided before the star t of class.
Top ics / Schedule:
Pre-recorded lectures (3 hours each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation: February 29\, 2024
Thursday\, March 7\, 2024
Topi c 1: Intro to Jupyter Notebooks\, the Spyder IDE and the course desig n examples. Core Python constructs.
Thursday\, March 14\, 2024 u>
Topic 2: Core Python constructs\; iterators\, functions \, reading writing data files.
Thursday\, March\, 21\, 2024< /p>
Topic 3: Signal processing simulation with popular package s including NumPy\, SciPy\, and Matplotlib.
Thursday\, March 28\ , 2024
Topic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages p>
Speaker’s Bio:
Da n Boschen has a MS in Communications and Signal Processing from Northeaste rn University\, with over 25 years of experience in system and hardware de sign for radio transceivers and modems. He has held vario us positions at Signal Technologies\, MITRE\, Airvana and Hittite Microwav e designing and developing transceiver hardware from baseband to antenna f or wireless communications systems and has taught courses on DSP to intern ational audiences for over 15 years. Dan is a contributor to Signal Proces sing Stack Exchange https://dsp.stackexchange.com/\, and is currently at M icrochip (formerly Microsemi and Symmetricom) leading design efforts for a dvanced frequency and time solutions.
For more background information\, please view Dan’s Linked-In page.
Registration is open through the last l ive workshop date. Live workshops are recorded for later use.
Robotic s and Automation Society and Aerospace and Electronic Systems
In th is distinguished lecture\, Dr. Mohan Trivedi from the University of Califo rnia\, San Diego\, will highlight major research milestones in the autonom ous vehicles area and discuss issues that require deeper\, critical examin ation and careful resolution to ensure the safe\, reliable\, and robust op eration of these highly complex systems in the real world.
Speaker: Dr. Mohan Trivedi
Biography: Mohan Trivedi is a Distinguished Professor of Elec trical and Computer Engineering at University of California San Diego and founding director of the Computer Vision and Robotics Research Laboratory (est. 1986)\, as well as the Laboratory for Intelligent and Safe Automobil es (LISA) (est. 2001). Trivedi and his team are pursuing research in intel ligent vehicles\, human-centered autonomous driving\, machine perception\, machine learning\, human-robot interactivity\, and advanced driver assist ance. Trivedi has received Distinguished Alumnus awards from BITS-Pilani\, India and Utah State University. He has given over 130 keynote/plenary ta lks. He regularly serves as a consultant to various industry and governmen t agencies in the US and abroad. He frequently serves on panels dealing wi th technological\, strategic\, privacy\, and ethical issues surrounding re search areas he is involved in.
Trivedi has served as the Chair of the Robotics Technical Committee of the IEEE Computer Society\, Governing Board member of the IEEE Systems\, Man & Cybernetics\, and IEEE ITSC socie ties. Trivedi is a Fellow of IEEE (life)\, SPIE\, and IAPR.
Light D inner and refreshments!
Registration is required to attend. https://events.vtools.ieee.or g/m/404113
Elections will take Place!
Interested in role s in RAS? Contact: giovmi@ieee.org\ , ieee-ras@nedharvey.com
< /div>COURSE DESCRIPTION
Course Kick -off / Orientation 6:00PM – 6:30PM EDT\; Thursday\, February 29\, 2024
First Video Release\, Thursday\, February 29\, 2024. Additional vide os released weekly in advance of that week’s live session!
Live Wor kshops: 6:00PM – 7:30PM EDT\; Thursdays\, March 7\, 14\, 21\, 28
R egistration is open through the last live workshop date. Live workshops a re recorded for later use.
Course Information will be distributed o n Thursday\, February 29\, 2024 in advance of and in preparation for the f irst live workshop session. A live orientation session will be held on Fe bruary 29\, 2024.
Attendees will have access to the recorded sessio n and exercises for two months (until May 28\, 2024) after the last live s ession ends!
IEEE Member Early Rate (by Febru ary 15): $190.00
IEEE Member Rate (after February 15th): $285.00< /p>
IEEE Non-Member Early Rate (by February 15): $210.00
IEEE N on-Member Rate (after February 15): $315.00
Decision to run/cancel course: Thursday\, February 22\, 2024
Speaker: Dan Boschen
< p>This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python progr amming language.Pre-Recorded Videos: The course format includes pre-recorded video lectures that students can watch on the ir own schedule\, and an unlimited number of times\, prior to live Q&A wor kshop sessions on Zoom with the instructor. The videos will also be availa ble to the students for viewing for up to two months after the conclusion of the course.
Overview: Dan provides simple\, str aight-forward navigation through the multiple configurations and options\, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing a nd digital design verification. Students will be using the Anaconda distri bution\, which combines Python with the most popular data science applicat ions\, and Jupyter Notebooks for a rich\, interactive experience.
T he course begins with basic Python data structures and constructs\, includ ing key “Pythonic” concepts\, followed by an overview and use of popular p ackages for scientific computing enabling rapid prototyping for system des ign.
During the course students will create example designs includi ng a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate models useful for digital design verification (FPGA/ASIC)\, whil e bringing forward the signal processing tools for frequency and time doma in analysis.
Jupyter Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interact ive plots and graphics for a rich user experience. Jupyter Notebooks is an open-source web-based application (that can be run locally) that allows u sers to create and share visually appealing documents containing code\, gr aphics\, visualizations and interactive plots. Students will be able to in teract with the notebook contents and use “take-it-with-you” results for f uture applications in signal processing.
Target Audience: This course is targete d toward users with little to no prior experience in Python\, however fami liarity with other modern programming languages and an exposure to object- oriented constructs is very helpful. Students should be comfortable with b asic signal processing concepts in the frequency and time domain. Familiar ity with Matlab or Octave is not required\, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications.
Benefits of Attending / Goals of Cours e: Attendees will gain an overall appreciation of using Python an d quickly get up to speed in best practice use of Python.
A ll set-up information for the installation of all tools will be provided b efore the start of class.
< img loading='lazy' decoding='async' class='alignnone size-medium wp-image- 7162' src='https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course -Pic-7-300x209.jpg' alt='' width='300' height='209' srcset='https://ieeebo ston.org/wp-content/uploads/2021/06/Python-Course-Pic-7-300x209.jpg 300w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-Course-Pic-7-332 x231.jpg 332w\, https://ieeeboston.org/wp-content/uploads/2021/06/Python-C ourse-Pic-7.jpg 674w' sizes='(max-width: 300px) 100vw\, 300px' />
Topics / Schedule:
Pre-recorded lectures (3 hou rs each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:30pm on the dates listed below:
Kick-off / Orientation: February 29\, 2024
Thursday\, March 7\, 2024 p>
Topic 1: Intro to Jupyter Notebooks\, the Spyder IDE and th e course design examples. Core Python constructs.
Thursday\, Mar ch 14\, 2024
Topic 2: Core Python constructs\; iterato rs\, functions\, reading writing data files.
Thursday\, March\, 21\, 2024
Topic 3: Signal processing simulation with p opular packages including NumPy\, SciPy\, and Matplotlib.
Thursd ay\, March 28\, 2024
Topic 4: Bit/c ycle accurate modelling and analysis using the design examples and simulat ion packages
Speaker’s Bio:
Dan Boschen has a MS in Communications and Signal Processing f rom Northeastern University\, with over 25 years of experience in system a nd hardware design for radio transceivers and modems. He has held various positions at Signal Technologies\, MITRE\, Airvana and Hi ttite Microwave designing and developing transceiver hardware from baseban d to antenna for wireless communications systems and has taught courses on DSP to international audiences for over 15 years. Dan is a contributor to Signal Processing Stack Exchange https://dsp.stackexchange.com/\, and is currently at Microchip (formerly Microsemi and Symmetricom) leading design efforts for advanced frequency and time solutions.
For mo re background information\, please view Dan’s Linked-In page.
Registration is open thro ugh the last live workshop date. Live workshops are recorded for later us e.
Photonics Society
This seminar will discu ss the driving motivations for and technical approaches to photonic integr ation\, by Dr. Daniel Renner\, Distinguished Lecturer of the IEEE Photonic s Society.
Dr. Daniel Renner
Agenda:
6:00 pm Networking starts
6:15 pm Light meals served
7:00 pm Seminar starts
Photonic integration has been at the center of p hotonic activity for several years. Over this period\, great strides have been made to increase the integration density and integrated chip function ality. This talk will work its way up from the drivers for photonic integr ation – why do we need Photonic Integrated Circuits (PICs)? What are their similarities and differences with Electronic Integrated Circuits (EICs)? This analysis of integration drivers will lead to a discussion of recent p rogress on the main paths: monolithic\, heterogeneous and hybrid. The talk will conclude with possible approaches to meet the additional demanding c onsiderations for future Quantum PICs.
Bio: Dr. Da niel Renner grew up in the southern part of Chile\, in South America. He r eceived his Bachelor of Engineering Degree from the Universidad de Chile a nd then\, in his early twenties\, he went to the University of Cambridge i n England to do a Ph.D. in opto-electronics\, a new field of studies at th e time. Now\, decades later\, he has lived through the whole range of expe riences that relate to the research\, development\, manufacturing and comm ercialization of complex photonic devices and systems\, used in communicat ion\, sensor and industrial applications. In the past 30 years\, Daniel ha s been directly involved with the growth of four photonic start-ups in the United States\, Ortel Corporation\, Agility Communications\, Aerius Photo nics and Freedom Photonics. This gives him a unique perspective on the wor kings of a high-tech small business. Daniel is currently the Chair of the IEEE Photonics Society Industry Engagement Committee\, from where he is tr ying to help other photonic small businesses.